face_classification
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Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.
Greetings, I noticed the following problems when running `pip install -r REQUIREMENTS.txt` ``` ERROR: Could not find a version that satisfies the requirement tensorflow==1.1.0 (from versions: 1.13.1, 1.13.2, 1.14.0, 1.15.0,...
 I have encountered this issue when I run the video_emotion_gender_demo.py ,may I know how can I solve this issue? Thank you!
Bumps [numpy](https://github.com/numpy/numpy) from 1.12.1 to 1.22.0. Release notes Sourced from numpy's releases. v1.22.0 NumPy 1.22.0 Release Notes NumPy 1.22.0 is a big release featuring the work of 153 contributors spread...
Bumps [tensorflow](https://github.com/tensorflow/tensorflow) from 1.1.0 to 2.7.2. Release notes Sourced from tensorflow's releases. TensorFlow 2.7.2 Release 2.7.2 This releases introduces several vulnerability fixes: Fixes a code injection in saved_model_cli (CVE-2022-29216) Fixes...
I am trying to run the emotion detection on the `Jetson Nano` Trying to increase the inference speed of the model by trying to convert it into `TENSORRT` with the...
i have been using this [model ](https://github.com/oarriaga/face_classification) to classify emotions in my web app through tensorflowjs. I need some assistance , while using this model the results from the predictions...
Bumps [opencv-python](https://github.com/skvark/opencv-python) from 3.2.0 to 4.2.0.32. Release notes Sourced from opencv-python's releases. 4.2.0.32 opencv-python: https://pypi.org/project/opencv-python/ opencv-contrib-python: https://pypi.org/project/opencv-contrib-python/ opencv-python-headless: https://pypi.org/project/opencv-python-headless/ opencv-contrib-python-headless: https://pypi.org/project/opencv-contrib-python-headless/ OpenCV version 4.2.0. Changes: macOS environment updated from xcode8.3...
How can i train my own data? which software can i label my data? it is hard to change the train.py without any guidance.
Cool project, but I noticed a few things: 1. As already noted, Gender seems to be face offset (crop) sensitive. haarcascade_frontalface_default.xml related??? 2. Emotion sometimes produces different results When I...